Subspace Modeling for Fast Out-Of-Distribution and Anomaly Detection

no code implementations • 20 Mar 2022 • Ibrahima J. Ndiour, Nilesh A. Ahuja, Omesh Tickoo

This paper presents a fast, principled approach for detecting anomalous and out-of-distribution (OOD) samples in deep neural networks (DNN).

Anomaly Detection Dimensionality Reduction

Probabilistic Modeling of Deep Features for Out-of-Distribution and Adversarial Detection

no code implementations • 25 Sep 2019 • Nilesh A. Ahuja, Ibrahima Ndiour, Trushant Kalyanpur, Omesh Tickoo

We present a principled approach for detecting out-of-distribution (OOD) and adversarial samples in deep neural networks.

Adversarial Attack